{"id":"https://openalex.org/W2911173713","doi":"https://doi.org/10.1145/3282353.3282361","title":"Parameter Recovery Using Radon Transform","display_name":"Parameter Recovery Using Radon Transform","publication_year":2018,"publication_date":"2018-11-19","ids":{"openalex":"https://openalex.org/W2911173713","doi":"https://doi.org/10.1145/3282353.3282361","mag":"2911173713"},"language":"en","primary_location":{"id":"doi:10.1145/3282353.3282361","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3282353.3282361","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Conference on Advances in Mobile Computing and Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082803350","display_name":"Komal Komal","orcid":null},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Komal Komal","raw_affiliation_strings":["Monash University, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Monash University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074654562","display_name":"Nandita Bhattacharjee","orcid":"https://orcid.org/0000-0003-0799-4653"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Nandita Bhattacharjee","raw_affiliation_strings":["Monash University, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Monash University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031981133","display_name":"David Albrecht","orcid":"https://orcid.org/0000-0002-7903-323X"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"David Albrecht","raw_affiliation_strings":["Monash University, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Monash University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109937874","display_name":"Bala Srinivasan","orcid":null},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Bala Srinivasan","raw_affiliation_strings":["Monash University, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Monash University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I56590836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082803350"],"corresponding_institution_ids":["https://openalex.org/I56590836"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.17187785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"34","last_page":"43"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.77143394947052},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7241858243942261},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7081695795059204},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6442830562591553},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5923472046852112},{"id":"https://openalex.org/keywords/radon-transform","display_name":"Radon transform","score":0.5187826156616211},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49188947677612305},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48896586894989014},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4854886829853058},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.44221067428588867},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.409223347902298},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24022486805915833}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.77143394947052},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7241858243942261},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7081695795059204},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6442830562591553},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5923472046852112},{"id":"https://openalex.org/C197231052","wikidata":"https://www.wikidata.org/wiki/Q979829","display_name":"Radon transform","level":2,"score":0.5187826156616211},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49188947677612305},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48896586894989014},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4854886829853058},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.44221067428588867},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.409223347902298},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24022486805915833},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3282353.3282361","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3282353.3282361","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th International Conference on Advances in Mobile Computing and Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W161424843","https://openalex.org/W1239233946","https://openalex.org/W1533971260","https://openalex.org/W1639795441","https://openalex.org/W1963943638","https://openalex.org/W1971119598","https://openalex.org/W1976746818","https://openalex.org/W2032322171","https://openalex.org/W2038458900","https://openalex.org/W2131372145","https://openalex.org/W2149839062","https://openalex.org/W2164278383","https://openalex.org/W2318952381","https://openalex.org/W2405170567","https://openalex.org/W2549020273","https://openalex.org/W2589033932","https://openalex.org/W2619400090","https://openalex.org/W2784501675","https://openalex.org/W4247080677","https://openalex.org/W4300997486","https://openalex.org/W6631863904"],"related_works":["https://openalex.org/W4231936369","https://openalex.org/W2085033728","https://openalex.org/W967573802","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W3089715742","https://openalex.org/W4390494008","https://openalex.org/W2053596378"],"abstract_inverted_index":{"In":[0,105],"computer":[1],"vision,":[2],"alignment":[3,55,96],"of":[4,21,34,39,102,137],"images":[5,22,26,62,124,136],"plays":[6],"an":[7,111],"important":[8],"role":[9],"in":[10],"different":[11],"day":[12,14],"to":[13,59,81,117,156],"life":[15],"applications":[16],"by":[17,29],"bringing":[18],"similar":[19],"points":[20],"into":[23],"correspondence.":[24],"Conventionally,":[25],"are":[27,57,74],"aligned":[28],"using":[30],"the":[31,37,100,119,129,144,149,157],"extracted":[32],"features":[33,40],"images.":[35,51],"However,":[36,71],"extraction":[38],"is":[41,132],"difficult,":[42],"time":[43,85],"consuming":[44],"and":[45,63,140,152],"not":[46,65],"suitable":[47],"for":[48,83,94,125],"low":[49,60],"quality":[50,61],"Whereas":[52],"pixel":[53,91],"based":[54,92,115],"methods":[56,73],"applicable":[58],"do":[64],"require":[66],"extensive":[67],"image":[68,95],"processing":[69],"applications.":[70,86],"these":[72],"computationally":[75],"exhaustive":[76],"that":[77,97,143],"makes":[78],"it":[79],"difficult":[80],"use":[82],"real":[84],"Therefore,":[87],"we":[88,108],"need":[89],"a":[90],"method":[93,116,146],"can":[98,147],"overcome":[99],"limitations":[101],"computational":[103],"complexity.":[104],"this":[106],"paper,":[107],"have":[109],"proposed":[110,130,145],"efficient":[112],"Radon":[113],"transform":[114],"compute":[118,148],"transformation":[120],"parameters":[121,150],"between":[122],"two":[123],"aligning":[126],"them.":[127],"Moreover,":[128],"approach":[131],"verified":[133],"on":[134],"test":[135],"varying":[138],"classes":[139],"results":[141],"demonstrate":[142],"accurately":[151],"efficiently":[153],"as":[154],"compared":[155],"existing":[158],"approaches.":[159]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
